| 2026 | HPDC | CARBS: Compiler Autotuning via Randomized Biased Search. | Wei Li, Bin Gao, Weng-Fai Wong |
| 2026 | ICS | DANMP: Accelerating Multi-Scale Deformable Attention Using Near-Memory-Processing Architecture. | Huize Li, Qinggang Wang, Bin Gao, Dan Chen, Yu Huang, Xin Xin |
| 2025 | AAAI | AdaSkip: Adaptive Sublayer Skipping for Accelerating Long-Context LLM Inference. | Zhuomin He, Yizhen Yao, Pengfei Zuo, Bin Gao, Qinya Li, Zhenzhe Zheng, Fan Wu |
| 2025 | AISTATS | Bilevel Reinforcement Learning via the Development of Hyper-gradient without Lower-Level Convexity. | Yan Yang, Bin Gao, Ya-xiang Yuan |
| 2025 | HCI | Design of Intelligent Health Management Interactive System Based on AI Agent. | Yi Tong Chen, Bin Gao |
| 2025 | ICLR | LancBiO: Dynamic Lanczos-aided Bilevel Optimization via Krylov Subspace. | Yan Yang, Bin Gao, Ya-xiang Yuan |
| 2025 | ICML | Distributed Retraction-Free and Communication-Efficient Optimization on the Stiefel Manifold. | Yilong Song, Peijin Li, Bin Gao, Kun Yuan |
| 2025 | INFOCOM | Online Context Caching for Distributed Large Language Models Serving. | Bin Gao, Zhuomin He, Yizhen Yao, Zhanzhi Lou Lou, Zhi Zhou, Weng-Fai Wong |
| 2025 | ISIT | Riemannian Optimization for Holevo Capacity. | Chengkai Zhu, Renfeng Peng, Bin Gao, Xin Wang |
| 2024 | ICML | Optimization without Retraction on the Random Generalized Stiefel Manifold. | Simon Vary, Pierre Ablin, Bin Gao, Pierre-Antoine Absil |
| 2024 | ICPP | IMI: In-memory Multi-job Inference Acceleration for Large Language Models. | Bin Gao, Zhehui Wang, Zhuomin He, Tao Luo, Weng-Fai Wong, Zhi Zhou |
| 2024 | ISCAS | Compensation Architecture to Alleviate Noise Effects in RRAM-based Computing-in-memory Chips with Residual Resource. | Xiaoqing Zhao, Longjun Liu, Yuyi Liu, Bin Gao, Hongbin Sun |
| 2024 | ISPASS | DNA Storage Toolkit: A Modular End-to-End DNA Data Storage Codec and Simulator. | Puru Sharma, Gary Goh Yipeng, Bin Gao, Longshen Ou, Dehui Lin, Deepak Sharma, Djordje Jevdjic |
| 2024 | USENIX | Cost-Efficient Large Language Model Serving for Multi-turn Conversations with CachedAttention. | Bin Gao, Zhuomin He, Puru Sharma, Qingxuan Kang, Djordje Jevdjic, Junbo Deng, Xingkun Yang, Zhou Yu, Pengfei Zuo |
| 2024 | USENIX | Scalable and Effective Page-table and TLB management on NUMA Systems. | Bin Gao, Qingxuan Kang, Hao-Wei Tee, Kyle Timothy Ng Chu, Alireza Sanaee, Djordje Jevdjic |
| 2023 | ICPP | DAG-Aware Optimization for Geo-Distributed Data Analytics. | Qingyuan Wang, Bin Gao, Zhi Zhou, Fei Xu, Chenghao Ouyang |
| 2023 | QRS | Code Quality Evaluation in IT Communities Based on Sentiment Analysis of User Comments. | Hongwu Qin, Peiming Xue, Xiuqin Ma, Bin Gao |
| 2022 | CVPR | UCC: Uncertainty guided Cross-head Cotraining for Semi-Supervised Semantic Segmentation. | Jiashuo Fan, Bin Gao, Huan Jin, Lihui Jiang |
| 2022 | ECCV | EAGAN: Efficient Two-Stage Evolutionary Architecture Search for GANs. | Guohao Ying, Xin He, Bin Gao, Bo Han, Xiaowen Chu |
| 2022 | ISPASS | OS-level Implications of Using DRAM Caches in Memory Disaggregation. | Bin Gao, Hao-Wei Tee, Alireza Sanaee, Soh Boon Jun, Djordje Jevdjic |
| 2021 | DATE | An On-chip Layer-wise Training Method for RRAM based Computing-in-memory Chips. | Yiwen Geng, Bin Gao, Qingtian Zhang, Wenqiang Zhang, Peng Yao, Yue Xi, Yudeng Lin, Junren Chen, Jianshi Tang, Huaqiang Wu, He Qian |
| 2021 | ICCV | C | Yanning Zhou, Hang Xu, Wei Zhang, Bin Gao, Pheng-Ann Heng |
| 2021 | ICIP | Sliced Sparsity Measure For Tensor To Multispectral Image Denoising. | Tongle Wu, Bin Gao, Wai Lok Woo |
| 2020 | ASPDAC | Emerging Non-Volatile Memories for Computation-in-Memory. | Bin Gao |
| 2019 | DAC | Design Guidelines of RRAM based Neural-Processing-Unit: A Joint Device-Circuit-Algorithm Analysis. | Wenqiang Zhang, Xiaochen Peng, Huaqiang Wu, Bin Gao, Hu He, Youhui Zhang, Shimeng Yu, He Qian |
| 2019 | INFOCOM | Winning at the Starting Line: Joint Network Selection and Service Placement for Mobile Edge Computing. | Bin Gao, Zhi Zhou, Fangming Liu, Fei Xu |
| 2018 | GLOBECOM | Learning Based Power Control for mmWave Massive MIMO against Jamming. | Zhongcheng Xiao, Bin Gao, Sicong Liu, Liang Xiao |
| 2018 | ICASSP | Variational Bayes Sub-Group Adaptive Sparse Component Extraction for Diagnostic Imaging System. | Bin Gao, Peng Lu, Wai Lok Woo, Gui Yun Tian |
| 2018 | IGARSS | Terrestrial Water Storage (TWS) Patterns Monitoring in the Amazon Basin Using Grace Observed: its Trends and Characteristics. | Stephen Dankwa, Wenfeng Zheng, Bin Gao, Xiaolu Li |
| 2018 | KDD | Rare Query Expansion Through Generative Adversarial Networks in Search Advertising. | Mu-Chu Lee, Bin Gao, Ruofei Zhang |
| 2018 | KDD | RapidScorer: Fast Tree Ensemble Evaluation by Maximizing Compactness in Data Level Parallelization. | Ting Ye, Hucheng Zhou, Will Y. Zou, Bin Gao, Ruofei Zhang |
| 2016 | EMNLP | Solving Verbal Questions in IQ Test by Knowledge-Powered Word Embedding. | Huazheng Wang, Fei Tian, Bin Gao, Chengjieren Zhu, Jiang Bian, Tie-Yan Liu |
| 2015 | ASPDAC | Modeling and design optimization of ReRAM. | Jinfeng Kang, Haitong Li, Peng Huang, Zhe Chen, Bin Gao, Xiaoyan Liu, Zizhen Jiang, H.-S. Philip Wong |
| 2015 | DATE | Variation-aware, reliability-emphasized design and optimization of RRAM using SPICE model. | Haitong Li, Zizhen Jiang, Peng Huang, Y. Wu, Hong-Yu Chen, Bin Gao, Xiaoyan Liu, Jinfeng Kang, H.-S. Philip Wong |
| 2015 | UIC | The Application of Data Mining Technology for the Judgment of Poisoning Cases. | Jiong Wang, Yunfeng Zhang, Fanglin Wang, Bin Gao |
| 2015 | WSDM | DL-WSDM'15: Workshop on Deep Learning for Web Search and Data Mining. | Bin Gao, Jiang Bian |
| 2014 | AAAI | Learning Deep Representations for Graph Clustering. | Fei Tian, Bin Gao, Qing Cui, Enhong Chen, Tie-Yan Liu |
| 2014 | CIKM | RC-NET: A General Framework for Incorporating Knowledge into Word Representations. | Chang Xu, Yalong Bai, Jiang Bian, Bin Gao, Gang Wang, Xiaoguang Liu, Tie-Yan Liu |
| 2014 | COLING | Co-learning of Word Representations and Morpheme Representations. | Siyu Qiu, Qing Cui, Jiang Bian, Bin Gao, Tie-Yan Liu |
| 2014 | COLING | A Probabilistic Model for Learning Multi-Prototype Word Embeddings. | Fei Tian, Hanjun Dai, Jiang Bian, Bin Gao, Rui Zhang, Enhong Chen, Tie-Yan Liu |
| 2014 | ISCAS | Scaling and operation characteristics of HfOx based vertical RRAM for 3D cross-point architecture. | Jinfeng Kang, Bin Gao, Bing Chen, Peng Huang, Feifei Zhang, Xiaoyan Liu, Hong-Yu Chen, Zizhen Jiang, H.-S. Philip Wong, Shimeng Yu |
| 2014 | ISCAS | Design guidelines for 3D RRAM cross-point architecture. | Shimeng Yu, Yexin Deng, Bin Gao, Peng Huang, Bing Chen, Xiaoyan Liu, Jinfeng Kang, Hong-Yu Chen, Zizhen Jiang, H.-S. Philip Wong |
| 2013 | ECIR | Sponsored Search Ad Selection by Keyword Structure Analysis. | Kai Hui, Bin Gao, Ben He, Tiejian Luo |
| 2013 | WWW | Predicting advertiser bidding behaviors in sponsored search by rationality modeling. | Haifeng Xu, Bin Gao, Diyi Yang, Tie-Yan Liu |
| 2013 | SIGIR | Internet advertising: theory and practice. | Bin Gao, Jun Yan, Dou Shen, Tie-Yan Liu |
| 2012 | KDD | Joint optimization of bid and budget allocation in sponsored search. | Weinan Zhang, Ying Zhang, Bin Gao, Yong Yu, Xiaojie Yuan, Tie-Yan Liu |
| 2012 | SIGIR | Large-scale graph mining and learning for information retrieval. | Bin Gao, Taifeng Wang, Tie-Yan Liu |
| 2011 | CIKM | Learning to rank audience for behavioral targeting in display ads. | Jian Tang, Ning Liu, Jun Yan, Yelong Shen, Shaodan Guo, Bin Gao, Shuicheng Yan, Ming Zhang |
| 2011 | KDD | Semi-supervised ranking on very large graphs with rich metadata. | Bin Gao, Tie-Yan Liu, Wei Wei, Taifeng Wang, Hang Li |
| 2011 | WWW | Ranking on large-scale graphs with rich metadata. | Bin Gao, Taifeng Wang, Tie-Yan Liu |
| 2011 | WSDM | Let web spammers expose themselves. | Zhicong Cheng, Bin Gao, Congkai Sun, Yanbing Jiang, Tie-Yan Liu |
| 2010 | WWW | Actively predicting diverse search intent from user browsing behaviors. | Zhicong Cheng, Bin Gao, Tie-Yan Liu |
| 2009 | CIKM | A general markov framework for page importance computation. | Bin Gao, Tie-Yan Liu, Zhiming Ma, Taifeng Wang, Hang Li |
| 2008 | EMNLP | HTM: A Topic Model for Hypertexts. | Congkai Sun, Bin Gao, Zhenfu Cao, Hang Li |
| 2008 | SIGIR | BrowseRank: letting web users vote for page importance. | Yuting Liu, Bin Gao, Tie-Yan Liu, Ying Zhang, Zhiming Ma, Shuyuan He, Hang Li |
| 2007 | CIKM | Link analysis using time series of web graphs. | Lei Yang, Lei Qi, Yan-Ping Zhao, Bin Gao, Tie-Yan Liu |
| 2006 | ICDM | Star-Structured High-Order Heterogeneous Data Co-clustering Based on Consistent Information Theory. | Bin Gao, Tie-Yan Liu, Wei-Ying Ma |
| 2006 | ICDM | Detecting Link Spam Using Temporal Information. | Guoyang Shen, Bin Gao, Tie-Yan Liu, Guang Feng, Shiji Song, Hang Li |
| 2005 | APWEB | Level-Based Link Analysis. | Guang Feng, Tie-Yan Liu, Xu-Dong Zhang, Tao Qin, Bin Gao, Wei-Ying Ma |
| 2005 | KDD | Consistent bipartite graph co-partitioning for star-structured high-order heterogeneous data co-clustering. | Bin Gao, Tie-Yan Liu, Xin Zheng, QianSheng Cheng, Wei-Ying Ma |
| 2005 | WWW | An experimental study on large-scale web categorization. | Tie-Yan Liu, Yiming Yang, Hao Wan, Qian Zhou, Bin Gao, Hua-Jun Zeng, Zheng Chen, Wei-Ying Ma |
| 2004 | IDEAL | Two Further Gradient BYY Learning Rules for Gaussian Mixture with Automated Model Selection. | Jinwen Ma, Bin Gao, Yang Wang, QianSheng Cheng |